DURGESH716/Face-Mask-Detection-CNN

This Deep Learning model is trained in such a way that detects people wearing mask or not, even in heavy crowded places

23
/ 100
Experimental

This helps operations managers or security personnel monitor public or workplace environments for mask compliance. It takes live camera feeds or images of people and identifies who is wearing a face mask and who isn't. The output can trigger alerts or provide data for compliance reports, making it useful for managing health and safety protocols.

No commits in the last 6 months.

Use this if you need an automated way to enforce mask-wearing policies in a public venue, office, or facility using existing surveillance cameras.

Not ideal if you need to detect mask usage in extremely low-light conditions or with highly obscured faces, as its performance might degrade.

public-safety occupational-health access-control compliance-monitoring facility-management
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 9 / 25

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Stars

17

Forks

2

Language

Python

License

Last pushed

Aug 06, 2022

Commits (30d)

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